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of the doctoral candidates. This programme addresses not only successful mediation processes but also and especially the interferences and competitive relationships, the crises and the failures as well as those
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computer skills. We also expect successful candidates to be active team players in the RTG. Experience with data collection in an international context will be a plus. Language requirements Excellent command
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to 1,500 EUR per month. Academic admission requirements Master's degree or equivalent in the life sciences, mathematics, computer sciences, statistics, biophysics, or a related field Language requirements
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. Before applying for admission, students need to find a professor at the University of Göttingen who is willing to supervise their research project. Applications are processed through the online application
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
and on the application of knowledge. It is characterised by the classic features of a technical university. The BTU research profile comprises four key areas: Global Change and Transformation Processes
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for the production of cells Comparison of the established processes with the new rotational coating process Analysis of the influence of rheological parameters such as viscosity, flow point and time-dependent flow
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-time employment. Please indicate the request in your application. Topics and Work Location: Researchers of several disciplines are collaborating in SECAI on advancing AI. The spectrum of available topics
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microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics
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, supportive international scientific network • A diverse and inclusive working environment • Extensive advanced training opportunities Application Process Please apply by sending one PDF containing (a) a short
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. However, the transcriptional regulation of this process remains is not fully understood due to the complexity of crop plants as models for molecular and imaging studies. This DFG-supported project aims